
Bhavana Maganti
@bhavanamaganti
I build and evaluate multi-agent AI systems, retrieval workflows, and validated coding solutions.
What I'm looking for
At the National Institute for Aviation Research, I design a Python-based multi-agent orchestration layer to evaluate and improve AI model performance.
I develop and review real-world Python and C++ coding tasks for fault-triage scenarios, helping improve model accuracy and validation consistency. I validate solutions with competitive-programming techniques and maintain output consistency above 95%.
I built DocuChat, a retrieval-augmented chatbot over PDFs using recursive character chunking, sentence-transformer embeddings, and ChromaDB. I also implemented ResearchCrew, a LangGraph-based multi-agent research assistant for collaborative research and summarization workflows.
I document model behavior, prompt templates, security constraints, and implementation decisions clearly. I enjoy rigorous code validation, open-source collaboration, and building dependable AI tooling for remote technical teams.
Experience
Work history, roles, and key accomplishments
AI Engineer
National Institute for Aviation Research (NIAR)
May 2025 - Present (1 year 4 months)
Designed a multi-agent orchestration layer in Python3 to evaluate and improve AI model performance. Developed and reviewed coding tasks in Python3 and C++ to analyze fault-triage scenarios, improving model accuracy and validation consistency.
Education
Degrees, certifications, and relevant coursework
Wichita State University
Master's, Computer Science
2024 -
Grade: 3.5
Pursuing a Master's degree in Computer Science with a CGPA of 3.5, expected to graduate in May 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Skills
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